Principal Data Product Manager
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AI Summary
Company Description
At PayNearMe, we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs.
Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results.
In September 2025, we raised a $50 million Series E funding round to accelerate our growth.
We’re a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ.
Join us and be part of a team that’s shaping the future of payments—one experience at a time.
Responsibilities:
As Principal Product Manager, Data & Insights, you will define how data powers products, customer experiences, analytics, recommendations, and analytical AI capabilities. You will set the strategy, priorities, and roadmap for how data is captured, modeled, measured, exposed, and leveraged across the platform, turning it into capabilities that improve customer outcomes, sharpen differentiation, and unlock new growth.
The next generation of software products will be differentiated by how effectively they leverage data. This role defines how data becomes a reusable platform capability, powering better products, better customer experiences, and future innovation across PayNearMe.
Data & Insights Strategy
- Define the long-term vision for data as a strategic product and platform capability.
- Identify opportunities to improve products and customer experiences through data.
- Prioritize investments across data products, insights, analytics, recommendations, and analytical AI capabilities.
- Set roadmap priorities that keep data strategy aligned to business goals.
Platform Data Capabilities
- Define reusable data capabilities that scale across products and experiences.
- Drive accessibility, governance, discoverability, and common business definitions for core data assets.
- Establish a consistent approach for modeling, measuring, and exposing data across the platform.
- Enable teams to build on shared data assets rather than one-off solutions.
Customer-Facing Analytics & Recommendations
- Identify and prioritize opportunities for customer-facing insights, recommendations, and analytics experiences.
- Embed data-driven capabilities into existing products.
- Evaluate and pursue new data-driven product opportunities.
Analytical AI & Automation
- Own the roadmap for analytical AI capabilities that turn raw data into decisions.
- Define the data, measurement, and product requirements behind AI-enabled experiences and workflow automation.
- Shape how data improves decision-making, automation, and customer outcomes.
- Translate emerging technology capabilities into real customer and business value.
What Success Looks Like
- Data operates as a reusable platform capability across multiple products and experiences.
- Product teams consistently discover, access, and trust core data assets.
- Data-driven insights and recommendations are embedded within customer experiences.
- Data investments tie directly to customer outcomes and business impact.
- New opportunities for differentiation and growth emerge through data.
- The company has a clear strategy for data across analytics, recommendations, automation, and AI.
Qualifications:
- 10+ years in Product Management, with substantial experience in data-intensive, platform, analytics, or AI-enabled products.
- Track record defining, launching, and scaling products powered by data, analytics, recommendations, or machine learning.
- Deep understanding of how data is collected, modeled, governed, measured, and exposed through products and platforms.
- Command of the technical landscape across data engineering, analytics, machine learning, and software engineering.
- Ability to translate complex data capabilities into simple, valuable customer experiences.
- Experience defining product strategy in environments where data is a core competitive advantage.
- Systems thinker who identifies reusable capabilities that benefit multiple products.
- Comfortable navigating ambiguity and shaping new product categories.
- Strong communication, influence, and executive stakeholder management skills.
- Experience with data products, analytics platforms, recommendation systems, AI-powered experiences, or workflow automation.
- Familiarity with modern data platforms and concepts such as semantic layers, governance, APIs, data sharing, and AI/ML ecosystems.
- Experience in fintech, payments, or other data-rich, regulated industries.
Characteristics We Value:
- Naturally curious and energized by data.
- Finds patterns, connections, and opportunities within complex datasets.
- Equally fluent in customer problems, business strategy, and technical architecture.
- Sees data as a strategic product and platform capability, not a reporting function.
- Balances long-term platform thinking with practical execution.
- Connects data investments to customer value, differentiation, and business outcomes.
Why Join Us?:
- Competitive salary and benefits with growth-company options grant
- Fast- paced and professional work culture
- Stock options with standard startup vesting - 1 year cliff; 4 years total
- $50 monthly communication expense stipend to go towards your phone/internet bill
- $250 stipend to enhance your WFH setup
- Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
- Premium medical benefits including vision and dental (100% coverage for employees)
- Company-sponsored life and disability insurance
- Paid parental bonding leave
- Paid sick leave, jury duty, bereavement
- 401k plan
- Flexible Time Off (our team members typically take off ~3-4 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders.
We’re in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible.
PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply.
CALIFORNIA CONSUMER PRIVACY ACT: APPLICANT NOTICE
Effective Date: January 1, 2020
Last Reviewed on: December 23, 2019
PayNearMe, Inc. (the “Company”) is providing you with this Notice (“Notice”) to inform you about:
- the categories of Personal Information that the Company collects and maintains about applicants; and
- the purposes for which the Company uses that Personal Information.
For purposes of this Notice, “Personal Information” means information that identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly with, a natural person that the Company may collect in connection with screening applicants for job openings at the Company.
- Identifiers and Professional or Employment-Related Information. The Company collects identifiers and professional or employment-related information, which may include some or all the following: real name, nickname or alias, postal address, telephone number, e-mail address, membership in professional organizations, professional certifications, language skills, and current and past employment history. The Company collects this Personal Information to evaluate previous job performance and consider applicants for positions, to develop a talent pool and plan for succession, to conduct applicant surveys, to maintain an internal applicant directory and for purposes of identification, to promote the Company as a place to work, and for workforce reporting and data analytics/trend analysis.
- Personal Information Categories from Cal. Civ. Code § 1798.80(e). The Company may collect categories of Personal Information listed in Cal. Civ. Code §1798.80(e), other than those already listed above, (a) to the extent necessary to comply with the Company’s legal obligations, such as to accommodate disabilities; (b) to conduct a direct threat analysis in accordance with the Americans with Disabilities Act and state law; (c) for occupational health and safety compliance and record-keeping; and (d) to respond to an applicant’s medical emergency.
- Characteristics of Protected Classifications Under California or Federal Law. The Company may collect information about race, age, national origin, disability, sex, and veteran status as necessary to comply with legal obligations, including the reporting requirements of the federal Equal Employment Opportunity Act, the federal Office of Contracting Compliance Programs (applicable to government contractors), and California’s Fair Employment and Housing Act. The Company collects this Personal Information for purposes including: to comply with Federal and California law related to accommodation. The Company also collects this category of Personal Information on a purely voluntary basis, except where required by law, and uses the information only in compliance with applicable laws and regulations.
- Education Information. The Company collects education information such as resumes and graduation records. The Company collects this Personal Information to determine suitability for roles, to determine eligibility for training courses, and to assist with professional licensing.
- Profile Data. The Company may collect profile data, including the following: psychological assessments, behavior analyses, or other profiling of its applicants. The Company collects this Personal Information to determine aptitude for certain positions and job assignments as well.
- Background Screening Information. In the event that an applicant is given a formal job offer, the Company collects background screening information prior to hiring, including results of the following types of background screening: criminal history; sex offender registration; motor vehicle records; credit history; employment history; drug testing; and educational history. The Company collects this Personal Information to screen for risks to the Company and its clients, and continued suitability for their jobs and to evaluate applicants for promotions.
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